code: def line_segment_transfer_error_one_way(
      ls1: Tensor, ls2: Tensor, H: Tensor, squared: bool = False
  ) -> Tensor:
      r"""Return transfer error in image 2 for line segment correspondences given the homography matrix.
  
      Line segment end points are reprojected into image 2, and point-to-line error is calculated w.r.t. line,
      induced by line segment in image 2. See :cite:`homolines2001` for details.
  
      Args:
          ls1: line segment correspondences from the left images with shape
            (B, N, 2, 2).
          ls2: line segment correspondences from the right images with shape
            (B, N, 2, 2).
          H: Homographies with shape :math:`(B, 3, 3)`.
          squared: if True (default is False), the squared distance is returned.
  
      Returns:
          the computed distance with shape :math:`(B, N)`.
      """
      KORNIA_CHECK_SHAPE(H, ["B", "3", "3"])
      KORNIA_CHECK_SHAPE(ls1, ["B", "N", "2", "2"])
      KORNIA_CHECK_SHAPE(ls2, ["B", "N", "2", "2"])
      B, N = ls1.shape[:2]
      ps1, pe1 = torch.chunk(ls1, dim=2, chunks=2)
      ps2, pe2 = torch.chunk(ls2, dim=2, chunks=2)
      ps2_h = convert_points_to_homogeneous(ps2)
      pe2_h = convert_points_to_homogeneous(pe2)
      ln2 = ps2_h.cross(pe2_h, dim=3)
      ps1_in2 = convert_points_to_homogeneous(transform_points(H, ps1))
      pe1_in2 = convert_points_to_homogeneous(transform_points(H, pe1))
      er_st1 = (ln2 @ ps1_in2.transpose(-2, -1)).view(B, N).abs()
      er_end1 = (ln2 @ pe1_in2.transpose(-2, -1)).view(B, N).abs()
      error = 0.5 * (er_st1 + er_end1)
      if squared:
          error = error**2
      return error
  
file_path: kornia/kornia/geometry/homography.py
imports: import warnings
  from typing import Optional, Tuple
  import torch
  from kornia.core import Tensor
  from kornia.core.check import KORNIA_CHECK_SHAPE
  from kornia.utils import _extract_device_dtype, safe_inverse_with_mask, safe_solve_with_mask
  from kornia.utils.helpers import _torch_svd_cast
  from .conversions import convert_points_from_homogeneous, convert_points_to_homogeneous
  from .epipolar import normalize_points
  from .linalg import transform_points
label_desc: Use image node_id 3 for calling a global function with example usage: line_segment_transfer_error_one_way(ls1, ls2, H, squared) and returns: error